Fetching the paper…
Reading the bibliography…
Robot manipulation has seen tremendous progress in recent years, with imitation learning policies enabling successful performance of dexterous and hard-to-model tasks.
T. B. Brown, B. Mann, N. Ryder, M. Subbiah, J. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell
1901
Earlier work this paper cites.
1910
Earlier work this paper cites.
B. L. Welch, “The generalization of ‘student’s’problem when several different population varlances are involved,”
1947
Earlier work this paper cites.
T. L. Lai, “Nearly optimal sequential tests of composite hypotheses,”
1988
Earlier work this paper cites.
2004
Earlier work this paper cites.
H.-P. Piepho, “An algorithm for a letter-based representation of all-pairwise comparisons,”
2004
Earlier work this paper cites.
2006
Earlier work this paper cites.
2010
Earlier work this paper cites.
S. Greenland, S. J. Senn, K. J. Rothman, J. B. Carlin, C. Poole, S. N. Goodman, and D. G. Altman, “Statistical tests, p values, confidence intervals, and power: a guide to misinterpretations,”
2016
Earlier work this paper cites.
W. Crooks, G. Vukasin, M. O’Sullivan, W. C. Messner, and C. Rogers, “Fin ray® effect inspired soft robotic gripper: From the robosoft grand challenge toward optimization,”
2016
Earlier work this paper cites.
2019
Earlier work this paper cites.
A. S. Morgan, K. Hang, W. G. Bircher, F. M. Alladkani, A. Gandhi, B. Calli, and A. M. Dollar, “Benchmarking cluttered robot pick-and-place manipulation with the box and blocks test,”
2019
Earlier work this paper cites.
Y. Bekiroglu, N. Marturi, M. A. Roa, K. J. M. Adjigble, T. Pardi, C. Grimm, R. Balasubramanian, K. Hang, and R. Stolkin, “Benchmarking protocol for grasp planning algorithms,”
2019
Earlier work this paper cites.
2020
Earlier work this paper cites.
S. James, Z. Ma, D. R. Arrojo, and A. J. Davison, “Rlbench: The robot learning benchmark & learning environment,”
2020
Earlier work this paper cites.
2020
Earlier work this paper cites.
A. Kadian, J. Truong, A. Gokaslan, A. Clegg, E. Wijmans, S. Lee, M. Savva, S. Chernova, and D. Batra, “Sim2real predictivity: Does evaluation in simulation predict real-world performance?”
2020
Earlier work this paper cites.
K. Kimble, K. Van Wyk, J. Falco, E. Messina, Y. Sun, M. Shibata, W. Uemura, and Y. Yokokohji, “Benchmarking protocols for evaluating small parts robotic assembly systems,”
2020
Earlier work this paper cites.
F. Bottarel, G. Vezzani, U. Pattacini, and L. Natale, “Graspa 1.0: Graspa is a robot arm grasping performance benchmark,”
2020
Earlier work this paper cites.
K. Chatzilygeroudis, B. Fichera, I. Lauzana, F. Bu, K. Yao, F. Khadivar, and A. Billard, “Benchmark for bimanual robotic manipulation of semi-deformable objects,”
2020
Earlier work this paper cites.
A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark
2021
Earlier work this paper cites.
2021
Earlier work this paper cites.
2021
Earlier work this paper cites.
2021
Earlier work this paper cites.
2021
Earlier work this paper cites.
2021
Earlier work this paper cites.
Z. Liu, W. Liu, Y. Qin, F. Xiang, M. Gou, S. Xin, M. A. Roa, B. Calli, H. Su, Y. Sun
2021
Cited alongside, same era.
R. Agarwal, M. Schwarzer, P. S. Castro, A. C. Courville, and M. Bellemare, “Deep reinforcement learning at the edge of the statistical precipice,”
2021
Cited alongside, same era.
C. Schuhmann, R. Beaumont, R. Vencu, C. Gordon, R. Wightman, M. Cherti, T. Coombes, A. Katta, C. Mullis, M. Wortsman
2022
Cited alongside, same era.
2022
Cited alongside, same era.
S. Bauer, M. Wüthrich, F. Widmaier, A. Buchholz, S. Stark, A. Goyal, T. Steinbrenner, J. Akpo, S. Joshi, V. Berenz
2022
Cited alongside, same era.
2024
Later among the works it cites.
2024
Later among the works it cites.
2024
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
T. Z. Zhao, V. Kumar, S. Levine, and C. Finn, “Learning fine-grained bimanual manipulation with low-cost hardware,” in
2023
Cited alongside, same era.
A. Kirillov, E. Mintun, N. Ravi, H. Mao, C. Rolland, L. Gustafson, T. Xiao, S. Whitehead, A. C. Berg, W.-Y. Lo
2023
Cited alongside, same era.
X. Zhai, B. Mustafa, A. Kolesnikov, and L. Beyer, “Sigmoid loss for language image pre-training,” in
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2024
Later among the works it cites.
2024
Later among the works it cites.
2024
Later among the works it cites.
2024
Later among the works it cites.
2024
Later among the works it cites.
2024
Later among the works it cites.
N. Khargonkar, S. H. Allu, Y. Lu, B. Prabhakaran, Y. Xiang
2024
Later among the works it cites.
2025
Closest in time.
2025
Closest in time.
2025
Closest in time.
J. Yang, R. Tan, Q. Wu, R. Zheng, B. Peng, Y. Liang, Y. Gu, M. Cai, S. Ye, J. Jang
2025
Closest in time.
2025
Closest in time.
G. R. Team, “Gemini Robotics: Bringing AI into the Physical World,” Tech. Rep., Mar. 2025. [Online]. Available:
2025
Closest in time.
2025
Closest in time.
H. Geng, F. Wang, S. Wei, Y. Li, B. Wang, B. An, C. T. Cheng, H. Lou, P. Li, Y.-J. Wang, Y. Liang, D. Goetting, C. Xu, H. Chen, Y. Qian, Y. Geng, J. Mao, W. Wan, M. Zhang, J. Lyu, S. Zhao, J. Zhang, J. Zhang, C. Zhao, H. Lu, Y. Ding, R. Gong, Y. Wang, Y. Kuang, R. Wu, B. Jia, C. Sferrazza, H. Dong, S. Huang, K. Sreenath, Y. Wang, J. Malik, and P. Abbeel, “Roboverse: Towards a unified platform, dataset and benchmark for scalable and generalizable robot learning,” April 2025. [Online]. Available:
2025
Closest in time.
2025
Closest in time.
2025
Closest in time.
M. Seo, H. A. Park, S. Yuan, Y. Zhu, and L. Sentis, “Legato: Cross-embodiment imitation using a grasping tool,”
2025
Closest in time.
2025
Closest in time.
2025
Closest in time.
2025
Closest in time.
R. Tedrake and the Drake Development Team, “Drake: Model-based design and verification for robotics,” 2025. [Online]. Available:
2025
Closest in time.